Email this article 
Data Analytics to Examine Trending Topics for Indonesian Election 2019
(1) Institut Teknologi Sepuluh Nopember
(2) Institut Teknologi Sepuluh Nopember
(3) Institut Teknologi Sepuluh Nopember
(4) Politeknik Elektronika Negeri Surabaya
(5) Politeknik Elektronika Negeri Surabaya
(6) Universiti Brunei Darussalam
(*) Corresponding Author
Abstract
Understanding public interest and opinion are necessary tasks in high intense political competition. Utilizing big data analytics from social media provide an important source of information that candidates can utilize, manage and even engage them in targeted political campaigning agenda. One of the source in big data is social media’s interactions. Social media empowers public to participate proactivelyin the campaigning activities. This paper examines trends gathered from data analytics of two contenders’ group for Indonesian Election in 2019. It tracks the recent patterns of people engagement via social media analytic specifically Twitter. The study developed the analysis into the proposed model based on their trends and patterns.
Abstract views : 732
| 
views : 45
References
Baert, P., & Rubio, F.D. (Eds.). (2013). Politics of knowledge. Routledge, 711 Third Avenue, New York.
Peterson, D.A. (2014). Uncertainty and campaigns: The psychological mechanism behind campaign-induced priming. American Politics Research, 43, 109–143.
Low, K.C.P., & Anshari, M. (2013). Incorporating social customer relationship management in negotiation. International Journal of Electronic Customer Relationship Management, 7(3), 239–252.
Anshari, M., Alas, Y., & Guan, L.S. (2015). Developing online learning resources: Big data, social networks, and cloud computing to support pervasive knowledge. Education and Information Technologies, 1–15.
Countrymeters, (2015). Population of Indonesia. Retrieved 11 June 2015 from http://countrymeters.info/en/Indonesia
Columbus, L. (2015). 2015 big data market update. Forbes. Retrieved from http://www.forbes.com/sites/louiscolumbus/2015/10/11/2015-big-data-market-update/#638a26a15170
Weil, K. (2010). Hadoop at Twitter. Retrieved 1 November 2018 from https://blog.twitter.com/engineering/en_us/a/2010/hadoop-at-twitter.html
Anshari, M., Alas, Y., & Guan, L. S. (2015a). Pervasive Knowledge, Social Networks, and Cloud Computing: E-Learning 2.0. Eurasia Journal of Mathematics, Science & Technology Education, 2015, 11 (5), p.909-921.
Xenos, M. A., & Foot, K. A. (2005). Politics as usual, or politics unusual? Position taking and dialogue on campaign websites in the 2002 US elections. Journal of Communication, 55(1), 169-185
Vromen, A., Xenos, M. A., & Loader, B. (2015). Young people, social media and connective action: from organisational maintenance to everyday political talk. Journal of Youth Studies, 18(1), 80-100.
Matteson, S. (2013). Big data: Basic concepts and benefits explained. Wall Street Journal, Retrieved March 23, 2015 from http://www.techrepublic.com/blog/big-data-analytics/big-data-basic-concepts-and-benefits-explained/
DOI: https://doi.org/10.35314/isi.v4i2.984
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This Journal has been listed and indexed in :
Copyright of Jurnal Inovtek Polbeng - Seri Informatika (ISSN: 2527-9866)
ISI: Inovtek Polbeng Seri Informatikan is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Editorial Office :
Pusat Penelitian dan Pengabdian kepada Masyarakat
Politeknik Negeri Bengkalis
Jl. Bathin alam, Sungai Alam Bengkalis-Riau 28711
E-mail: jurnalinformatika@polbeng.ac.id
www.polbeng.ac.id
View My Stats